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Distributed edge-event triggered consensus control for multi-agent systems by edge-based asynchronous communications

Author

Listed:
  • Zhang, Juan
  • Zhang, Huaguang
  • Li, Weihua
  • Li, Keqin

Abstract

This paper investigates the consensus problem for a class of nonlinear multi-agent systems (MASs) under static and dynamic distributed edge-event triggered control protocols. The novel asynchronous edge-event triggered mechanisms are proposed to avoid continuous information transmission between neighbors, under which each subsystem does not exhibit the Zeno behavior. Compared with the existing works, the highlight of this paper is based on edge communication and the construction of triggering mechanism depends on the information of the edge. Moreover, compared with the event-triggered mechanism, the edge-event triggered mechanism is a more distributed information exchange mode and each agent transmits information to its out-neighbors asynchronously, thus effectively reducing the use of system resources. Finally, a practice simulation example is introduced to demonstrate the main results of this paper. Moreover, in order to highlight the advantages of our methods, a comparative experiment is performed.

Suggested Citation

  • Zhang, Juan & Zhang, Huaguang & Li, Weihua & Li, Keqin, 2021. "Distributed edge-event triggered consensus control for multi-agent systems by edge-based asynchronous communications," Applied Mathematics and Computation, Elsevier, vol. 397(C).
    • Handle: RePEc:eee:apmaco:v:397:y:2021:i:c:s0096300320308730
    DOI: 10.1016/j.amc.2020.125920
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    References listed on IDEAS

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    1. Tan, Guoqiang & Wang, Zhanshan & Li, Cong, 2020. "H∞ performance state estimation of delayed static neural networks based on an improved proportional-integral estimator," Applied Mathematics and Computation, Elsevier, vol. 370(C).
    2. Wang, Yangling & Cao, Jinde & Wang, Haijun & Alsaadi, Fuad E., 2019. "Event-triggered consensus of multi-agent systems with nonlinear dynamics and communication delay," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 147-157.
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    Cited by:

    1. Chang, Beibei & Zhu, Chuanxi, 2022. "Edge-based dynamic event-triggered mean square consensus control for stochastic multi-agent systems under weight-balanced digraph," Applied Mathematics and Computation, Elsevier, vol. 428(C).
    2. Li, Weihua & Zhang, Huaguang & Wang, Wei & Cao, Zhengbao, 2022. "Fully distributed event-triggered time-varying formation control of multi-agent systems subject to mode-switching denial-of-service attacks," Applied Mathematics and Computation, Elsevier, vol. 414(C).

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